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AI code editing 1code generation 1line-anchored feedback 1model correctness 1token efficiency 1

From the 1 of 4 linked papers with an AI index.

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20242026
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cs.SE2026

Line-Anchored Feedback Cuts Token Costs and Improves Correctness in AI Code Editing

William Franz Lamberti

The paper evaluates a line‑anchored feedback tool (FileMark) for AI‑assisted code editing, showing it cuts generated token usage by up to 58% and improves edit correctness, especia…